milanesas 0.1.19

A group of tools to do exploratory analysis.

Imagen de vecstock en Freepik

Milanesas / EDA helper

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This package will help you to do some EDA related tasks. It will help you to reduce the amount of code needed to do a simple chart. Originally intended to work with Jupyter Lab but contains some help for Django.

Features

• Functions to draw simple graphs.
• Functions for drawing orizontal and vertical comparative graphs.
• Functions for transforming percentage values.
• Functions for counting unique values.

Installation

Install my-project with pipy.

pip install milanesas

Usage/Examples

import pandas as pd

import milanesas.eda_helper as eh #Importing the library.


# Create a test dataframe.
df = pd.DataFrame({'Category': ['A', 'B', 'F', 'C'], 'count': [4, 2, 3, 1]})


# Make a horizontal barchart.
eh.make_custom_horizontal_bar(
    df, 
    "col", 
    "Custom horizontal bar chart.", 
    "Count", 
    "Category", 
    False)

This simple code will show the following chart.

License

MIT